10.18453/rosdok_id00005818 Leifert, Gundram Gundram Leifert Grüning, Tobias Tobias Grüning http://d-nb.info/gnd/1181883350 Strauß, Tobias Tobias Strauß http://d-nb.info/gnd/1136294554 https://orcid.org/0000-0002-5344-4188 Labahn, Roger Roger Labahn http://d-nb.info/gnd/170999645 https://orcid.org/0000-0003-1901-9644 University of Rostock, Institute of Mathematics 2014 510 Mathematics 2014 en https://purl.uni-rostock.de/rosdok/id00005818 urn:nbn:de:gbv:28-rosdok_id00005818-1 We describe CITlab’s recognition system for the ANWRESH-2014 Competition attached to the 14. International Conference on Frontiers in Handwriting Recognition, ICFHR 2014. The task comprises word recognition from segmented historical documents. The core components of our system are based on multi-dimensional recurrent neural networks (MDRNN) and connectionist temporal classification (CTC). The software modules behind that as well as the basic utility technologies are essentially powered by PLANET’s ARGUS framework for intelligent text recognition and image processing.